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    • 1. 发明授权
    • Predictive diagnostic method
    • 预测诊断方法
    • US09177428B2
    • 2015-11-03
    • US13589532
    • 2012-08-20
    • Michael NguyenRobert MadisonKeith Andreasen
    • Michael NguyenRobert MadisonKeith Andreasen
    • G06F7/00G07C5/08
    • G07C5/0808G06F17/00G07C2205/02
    • There is provided a method of predicting defects likely to occur in a vehicle over a predetermined period. The method includes receiving vehicle characteristic data regarding a vehicle under consideration, and comparing the received vehicle characteristic data with a defect database. The defect database includes information related to defects that have occurred in different vehicles and the mileage at which such defects occurred. The method additionally includes identifying defects that occurred in vehicles corresponding to use vehicle under consideration, and the mileage at which such defects occurred. Detects which fail to satisfy minimum count requirements are then filtered out, and the defects are then sorted in order of the highest defect count.
    • 提供了一种在预定时间段内预测可能发生在车辆中的缺陷的方法。 所述方法包括接收关于所考虑的车辆的车辆特性数据,以及将所接收的车辆特性数据与缺陷数据库进行比较。 缺陷数据库包括与不同车辆中发生的缺陷有关的信息以及发生这种缺陷的里程。 该方法另外包括识别在与所考虑的使用车辆相对应的车辆中发生的缺陷以及发生这种缺陷的里程。 然后过滤出不符合最小计数要求的检测,然后按最高缺陷计数的顺序排列缺陷。
    • 8. 发明申请
    • Predictive Diagnostic Calculation
    • 预测诊断计算
    • US20140052328A1
    • 2014-02-20
    • US13589532
    • 2012-08-20
    • Michael NguyenRobert MadisonKeith Andreasen
    • Michael NguyenRobert MadisonKeith Andreasen
    • G06F7/00
    • G07C5/0808G06F17/00G07C2205/02
    • There is provided a method of predicting defects likely to occur in a vehicle over a predetermined period. The method includes receiving vehicle characteristic data regarding a vehicle under consideration, and comparing the received vehicle characteristic data with a defect database. The defect database includes information related to defects that have occurred in different vehicles and the mileage at which such defects occurred. The method additionally includes identifying defects that occurred in vehicles corresponding to use vehicle under consideration, and the mileage at which such defects occurred. Detects which fail to satisfy minimum count requirements are then filtered out, and the defects are then sorted in order of the highest defect count.
    • 提供了一种在预定时间段内预测可能发生在车辆中的缺陷的方法。 所述方法包括接收关于所考虑的车辆的车辆特性数据,以及将所接收的车辆特性数据与缺陷数据库进行比较。 缺陷数据库包括与不同车辆中发生的缺陷有关的信息以及发生这种缺陷的里程。 该方法另外包括识别在与所考虑的使用车辆相对应的车辆中发生的缺陷以及发生这种缺陷的里程。 然后过滤出不符合最小计数要求的检测,然后按最高缺陷计数的顺序排列缺陷。